{"query_echo":{"q":"","filters":{"analysis_type":["power system modelling"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'power system modelling' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":7,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=power+system+modelling","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"ember-000480","url":"https://climateinsightsdirectory.org/document/ember-000480","title":"Cost-optimal pathways for Thailand’s power sector development","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2025-09-30","source_url":"https://ember-energy.org/chapter/cost-optimal-pathways-for-thailands-power-sector-development/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report proposes a cost-optimal energy pathway for Thailand that exceeds the Revised Power Development Plan (RPDP) targets by adding 32 GW of solar and 6 GW/15 GWh of battery storage by 2037. This shift would result in cumulative cost savings of $1.8 billion and avoid 147 million tonnes of CO2 emissions. The analysis suggests that Thailand can meet its demand without adding 2 GW of planned natural gas capacity, as solar and batteries can cover growth from data centres and EV charging. While wind power is deemed financially unviable unless capital expenditures drop by 10% annually, the report suggests importing hydropower from Lao PDR as a cost-effective alternative to wind, despite risks related to import dependency and climate-driven droughts.","ai_generated":true,"unit":"ember-000480#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Increasing solar capacity by 32 GW and battery storage by 6 GW/15 GWh beyond the RPDP targets by 2037 would result in net cumulative cost savings of $1.8 billion and avoid 147 million tonnes of CO2 emissions.","ai_generated":true,"unit":"ember-000480#insight-1","date_modified":"2026-10-23"},{"text":"Thailand can meet its future electricity demand, including additional needs from data centres and EV charging (estimated at 10 TWh of energy and 3.3 GW peak load by 2037), without the 2 GW of new natural gas capacity planned for 2035 and 2036.","ai_generated":true,"unit":"ember-000480#insight-2","date_modified":"2026-10-23"},{"text":"Battery Energy Storage Systems (BESS) are critical for system adequacy; the model indicates a need for nearly 4 GW of BESS by 2030 to maintain a 15% reserve margin and manage solar variability, necessitating deployment starting in 2027.","ai_generated":true,"unit":"ember-000480#insight-3","date_modified":"2026-10-23"},{"text":"Onshore wind power is not considered cost-optimal for Thailand due to low average wind speeds (2.8-4 m/s) and high costs; it would only be viable if capital expenditure decreased by 10% annually between 2031 and 2037.","ai_generated":true,"unit":"ember-000480#insight-4","date_modified":"2026-10-23"},{"text":"Replacing 5 GW of planned wind capacity with 2.5 GW of imported hydropower from Lao PDR could increase cumulative cost savings by up to $5 billion from 2026 to 2037, though this increases import dependency and exposure to climate-driven drought risks.","ai_generated":true,"unit":"ember-000480#insight-5","date_modified":"2026-10-23"}],"climate_tags":["solar energy","battery energy storage system","wind power","natural gas","hydropower","carbon dioxide emissions","electric vehicle","data center","energy transition"],"geography_discussed":["Laos"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","power system modelling","policy assessment"]},{"id":"ember-000532","url":"https://climateinsightsdirectory.org/document/ember-000532","title":"Thailand’s cost-optimal pathway to a sustainable economy","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2025-09-30","source_url":"https://ember-energy.org/app/uploads/2025/09/Report-Thailands-cost-optimal-pathway-to-a-sustainable-economy-PDF.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report proposes a cost-optimal energy pathway for Thailand through 2037, suggesting that increasing solar capacity by 89% and battery storage by 60% relative to the draft revised power development plan (RPDP) 2024 can save $1.8 billion in power generation costs. This pathway aims to meet rising electricity demand from data centres (projected 10 TWh increase) and electric vehicles (projected 3.3 GW peak load increase) while reducing natural gas imports by 1,815 billion cubic feet. The analysis finds that wind energy is not financially viable without a 10% annual CAPEX reduction, suggesting imported hydropower from Lao PDR as a more cost-effective alternative.","ai_generated":true,"unit":"ember-000532#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Increasing solar capacity by 89% and battery storage by 60% beyond the RPDP targets can save Thailand $1.8 billion in power generation costs by 2037, despite requiring a higher total fixed expenditure of $168 billion compared to the RPDP's $153 billion.","ai_generated":true,"unit":"ember-000532#insight-1","date_modified":"2026-10-23"},{"text":"The cost-optimal pathway significantly enhances energy security by reducing natural gas use by 1,815 billion cubic feet by 2037, which is nearly double the amount consumed for power generation in 2024, resulting in nearly $16 billion in fuel cost savings between 2026 and 2037.","ai_generated":true,"unit":"ember-000532#insight-2","date_modified":"2026-10-23"},{"text":"To reliably meet additional demand from the data centre boom (10 TWh) and EV charging (3.3 GW peak load) by 2037, the report recommends adding 32 GW of solar and 6 GW/15 GWh of battery storage beyond RPDP targets, rather than adding 2 GW of new gas capacity.","ai_generated":true,"unit":"ember-000532#insight-3","date_modified":"2026-10-23"},{"text":"Wind energy is deemed not cost-competitive in Thailand due to limited resources; it would only be viable in a cost-optimal pathway if capital expenditure (CAPEX) declined by 10% annually between 2031 and 2037, falling from $1,591/kW to $761/kW.","ai_generated":true,"unit":"ember-000532#insight-4","date_modified":"2026-10-23"},{"text":"Replacing 5 GW of planned wind capacity (2031-2037) with 2.5 GW of imported hydropower from Lao PDR could increase cumulative cost savings by up to $5 billion from 2026 to 2037, reducing the average LCOE by $1.3/MWh.","ai_generated":true,"unit":"ember-000532#insight-5","date_modified":"2026-10-23"},{"text":"The cost-optimal pathway would avoid 147 million tonnes of CO2 emissions by 2037 and reduce the share of fossil fuels in the generation mix from over 80% in 2024 to approximately 40% by 2037.","ai_generated":true,"unit":"ember-000532#insight-6","date_modified":"2026-10-23"}],"climate_tags":["solar energy","battery energy storage system","electric vehicle","data center","natural gas","hydropower","wind power","carbon neutrality","energy security"],"geography_discussed":["Laos","ASEAN"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","power system modelling","policy assessment"]},{"id":"ember-000332","url":"https://climateinsightsdirectory.org/document/ember-000332","title":"In it together: the road to a cleaner, cheaper CEE power system","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2023-05-15","source_url":"https://ember-energy.org/app/uploads/2023/05/In-it-together_-the-road-to-a-cleaner-cheaper-CEE-power-system-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that Central and Eastern European (CEE) countries can significantly lower wholesale power prices and enhance energy security by accelerating the deployment of wind and solar energy. By targeting 200 GW of capacity by 2030, the region could reach a 63% share of renewables in electricity generation. The analysis emphasizes that cross-country collaboration is essential to unlock over 100 GW of offshore wind potential and that aligning national strategies with EU policy could unlock approximately €137 billion in public funding.","ai_generated":true,"unit":"ember-000332#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Accelerating wind and solar deployment in the CEE region could reduce average wholesale electricity prices by 29% by 2030 compared to current policy trajectories, dropping prices to an average of 41 €/MWh from 57 €/MWh in the baseline scenario.","ai_generated":true,"unit":"ember-000332#insight-1","date_modified":"2026-10-23"},{"text":"The CEE region has the potential to deploy 196 GW of wind and solar capacity by 2030, consisting of 130 GW of solar, 45 GW of onshore wind, and 20 GW of offshore wind. This would increase the share of renewables in electricity generation to 63% by 2030, up from 25% in 2022.","ai_generated":true,"unit":"ember-000332#insight-2","date_modified":"2026-10-23"},{"text":"Regional collaboration is critical to accessing over 100 GW of offshore wind potential, as some high-demand countries like Czechia and Hungary lack sea access, while others like Estonia and Latvia could produce electricity far exceeding their own 2030 demand.","ai_generated":true,"unit":"ember-000332#insight-3","date_modified":"2026-10-23"},{"text":"Aligning national renewable energy targets with EU climate policy could provide the CEE region with at least €136 billion (or approximately €137 billion) in EU funding, sourced from the Recovery and Resilience Facility (€71.6 billion), the Just Transition Fund (€17 billion), and the Modernization Fund (at least €48 billion).","ai_generated":true,"unit":"ember-000332#insight-4","date_modified":"2026-10-23"},{"text":"Failure to accelerate the energy transition would leave the CEE region uncompetitive and increase import dependency, with the region potentially forced to import 34 TWh of electricity in 2030, a five-fold increase from 2022.","ai_generated":true,"unit":"ember-000332#insight-5","date_modified":"2026-10-23"},{"text":"Grid bottlenecks and a lack of planning are currently hindering renewables deployment; for example, 15 GW of projects were denied grid connection permits in Poland in 2021, and Hungary's MAVIR operator stopped accepting new connection requests for weather-dependent plants until May 2023.","ai_generated":true,"unit":"ember-000332#insight-6","date_modified":"2026-10-23"}],"climate_tags":["wind power","solar energy","offshore wind power","energy security","electricity price","energy transition","climate finance"],"geography_discussed":["Estonia","Latvia","Lithuania","Poland","Czech Republic","Slovakia","Hungary","Slovenia","Croatia","Romania","Bulgaria","European Union","Russia","Ukraine"],"frame_perspective":[],"analysis_type":["power system modelling","policy analysis","economic assessment"]},{"id":"ember-000531","url":"https://climateinsightsdirectory.org/document/ember-000531","title":"New Generation","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2022-06-22","source_url":"https://ember-energy.org/app/uploads/2022/06/Report-New-Generation-23.06.22.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report demonstrates that Europe can achieve a 94-96% clean power system by 2035 at no extra cost compared to stated policies, provided wind and solar deployment quadruples. This transition would enable wider electrification, potentially halving fossil fuel consumption by 2030 and saving between €530 billion and €1 trillion by 2035. Key requirements include expanding interconnection, deploying electrolysers for green hydrogen, and phasing out coal by 2030 and unabated baseload gas after 2025.","ai_generated":true,"unit":"ember-000531#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A clean European power system (94-96% clean) is achievable by 2035 at no extra cost relative to stated policies, as higher upfront capital for renewables is offset by avoided carbon costs and reduced investment in nuclear and fossil capacities.","ai_generated":true,"unit":"ember-000531#insight-1","date_modified":"2026-10-23"},{"text":"To reach the 2035 milestone, annual growth in wind and solar capacity must quadruple by 2025 compared to the 2010-2020 average of 24 GW per year, reaching a deployment rate of 100-165 GW per year between 2025 and 2035.","ai_generated":true,"unit":"ember-000531#insight-2","date_modified":"2026-10-23"},{"text":"Increased electrification and energy savings could reduce Europe's primary fossil fuel consumption by 38-50% by 2030, with electrification accounting for approximately 70% of these reductions.","ai_generated":true,"unit":"ember-000531#insight-3","date_modified":"2026-10-23"},{"text":"The transition to a clean power system by 2035 could generate total system cost savings of €530 billion to €1.01 trillion by 2035 through avoided fossil fuel consumption in transport, industry, and buildings.","ai_generated":true,"unit":"ember-000531#insight-4","date_modified":"2026-10-23"},{"text":"To align with 1.5C goals, coal must be phased out by 2030 and unabated gas generation must be reduced to less than 5% of the total power supply by 2035.","ai_generated":true,"unit":"ember-000531#insight-5","date_modified":"2026-10-23"},{"text":"No new unabated baseload gas plants need to be commissioned after 2025, as the existing pipeline is sufficient if wind, solar, and flexibility infrastructure are adequately deployed.","ai_generated":true,"unit":"ember-000531#insight-6","date_modified":"2026-10-23"},{"text":"System flexibility is essential for integrating variable renewables and is primarily provided by three technologies: electrolysers (growing to 200-400 GW by 2035), expanded interconnections (doubling by 2035), and clean dispatchable generation.","ai_generated":true,"unit":"ember-000531#insight-7","date_modified":"2026-10-23"},{"text":"Modelling indicates that a 95% clean power system is reliable and resilient to extreme weather events, such as simultaneous cold spells and 'dunkelflaute' (calm, overcast conditions), through the use of demand-side flexibility and interconnections.","ai_generated":true,"unit":"ember-000531#insight-8","date_modified":"2026-10-23"}],"climate_tags":["wind power","solar energy","electrification","energy efficiency","green hydrogen","carbon capture and storage","wide area synchronous grid","battery energy storage system","Coal phase-out","natural gas","Net-zero emissions","Paris Agreement"],"geography_discussed":["Germany","Spain","Ireland","Denmark","Bulgaria","Greece","Hungary","Italy","Poland"],"frame_perspective":[],"analysis_type":["power system modelling","cost-benefit analysis","scenario analysis"]},{"id":"ember-000509","url":"https://climateinsightsdirectory.org/document/ember-000509","title":"Coal-free Czechia 2030","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2020-11","source_url":"https://ember-energy.org/app/uploads/2024/10/English-Coal-free_Czechia_2030-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that a coal-free Czechia by 2030 is feasible through a least-cost pathway focused on rapid expansion of wind and solar power, supplemented by flexible gas generation and large-scale heat pumps. It estimates that this transition would reduce power sector emissions by 85% and create approximately 45,000 direct jobs, while requiring €11bn in power sector capital investment.","ai_generated":true,"unit":"ember-000509#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A feasible, least-cost pathway to phase out coal from electricity and heating in Czechia by 2030 exists, primarily driven by a strong focus on wind and solar energy.","ai_generated":true,"unit":"ember-000509#insight-1","date_modified":"2026-10-23"},{"text":"To achieve a 2030 phase-out, Czechia would need to add 3.7GW of onshore wind and 7.9GW of solar capacity, reaching totals of 4GW and 10GW respectively by 2030.","ai_generated":true,"unit":"ember-000509#insight-2","date_modified":"2026-10-23"},{"text":"The transition would require adding between 2.5GW and 3.4GW of new gas generation to replace 9.7GW of closed coal capacity. The use of 2GW of grid-scale battery storage can reduce the need for flexible gas capacity by 1GW.","ai_generated":true,"unit":"ember-000509#insight-3","date_modified":"2026-10-23"},{"text":"At least two-thirds of heat from coal combined heat and power (CHP) plants could be replaced by large heat pumps and waste heat recovery. The model deploys 500MWth of large heat pumps by 2030.","ai_generated":true,"unit":"ember-000509#insight-4","date_modified":"2026-10-23"},{"text":"A 2030 coal phase-out would reduce CO2 emissions from power generation by 85% between 2020 and 2030, saving an additional 32MtCO2 compared to the National Energy and Climate Plan (NECP). This would allow Czechia to reduce total greenhouse gas emissions by more than 60% from 1990 levels.","ai_generated":true,"unit":"ember-000509#insight-5","date_modified":"2026-10-23"},{"text":"The required capital investment for the power sector is estimated at €11bn, representing approximately 0.45% of Czech GDP per year for ten years. This investment is expected to generate 45,000 direct full-time equivalent (FTE) jobs, with 95% created by wind and solar.","ai_generated":true,"unit":"ember-000509#insight-6","date_modified":"2026-10-23"},{"text":"By 2030, Czechia would become a small net importer of electricity, with net imports totaling 550GWh, or less than 1% of consumption.","ai_generated":true,"unit":"ember-000509#insight-7","date_modified":"2026-10-23"}],"climate_tags":["Coal phase-out","photovoltaics","district heating","waste heat recovery","greenhouse gas emissions","climate finance","just transition","energy security"],"geography_discussed":["Austria","Belgium","Denmark","Netherlands","Germany","Poland","European Union"],"frame_perspective":[],"analysis_type":["power system modelling","economic assessment","emissions projection"]},{"id":"clipolin-001087","url":"https://climateinsightsdirectory.org/document/clipolin-001087","title":"Electricity market reform – Karnataka case study","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"case study","language":"en","date_published":"2020-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/12/Electricity-market-reform-Karnataka-case-study-December-2020.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document investigates how Karnataka can manage its increasing flexibility needs—driven by high solar and wind capacity—through a portfolio of demand-side measures, energy storage, and powerplant operational changes. It argues that a balanced portfolio of these options can reduce system costs by up to 10% and carbon emissions by up to 35% by 2030, potentially making new coal capacity redundant. Key recommendations include amending grid codes to allow cost recovery for flexible thermal operations, completing agricultural feeder separation, and developing a 'data mission' to support locational pricing and market design.","ai_generated":true,"unit":"clipolin-001087#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Implementing flexibility through markets and resource development can significantly lower costs and emissions for an isolated Karnataka system, reducing electricity costs by up to 10% and carbon emissions by up to 35%.","ai_generated":true,"unit":"clipolin-001087#insight-1","date_modified":"2026-10-23"},{"text":"A balanced portfolio combining demand flexibility, energy storage, and powerplant flexibility is more effective and less risky than relying on any single resource, delivering the highest optimization for cost, curtailment, and emissions.","ai_generated":true,"unit":"clipolin-001087#insight-2","date_modified":"2026-10-23"},{"text":"Integration into a wider India-wide market with strong transmission links could further reduce system costs in Karnataka by approximately 7%.","ai_generated":true,"unit":"clipolin-001087#insight-3","date_modified":"2026-10-23"},{"text":"Demand flexibility is generally the least expensive resource. Key potentials include agricultural pumping, which could provide 30GWh of daily energy shifting by 2030, and EV charging, which could offer 7GWh of daily shifting potential from light duty vehicles alone.","ai_generated":true,"unit":"clipolin-001087#insight-4","date_modified":"2026-10-23"},{"text":"Karnataka's coal-fired plants can provide significant flexible capacity if technical minimums are lowered. Reducing the mandated technical minimum from 70% to 55% could unlock 15% additional daily shifting capacity; further reduction to 40% would release another 15%.","ai_generated":true,"unit":"clipolin-001087#insight-5","date_modified":"2026-10-23"},{"text":"With sufficient flexibility, Karnataka could eliminate its 1.6GW pipeline for the expansion of the Udupi Thermal Power Plant without sacrificing reliability.","ai_generated":true,"unit":"clipolin-001087#insight-6","date_modified":"2026-10-23"},{"text":"Battery storage remains a high-capital cost resource, but its competitiveness improves when 'stacking' multiple services (e.g., combining energy shifting with voltage support) to amortize costs.","ai_generated":true,"unit":"clipolin-001087#insight-7","date_modified":"2026-10-23"},{"text":"Industrial demand, particularly in the textile sector (offering up to 25% load shifting), provides a low-cost opportunity for seasonal load shifting through the management of maintenance and production schedules.","ai_generated":true,"unit":"clipolin-001087#insight-8","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","solar energy","wind power","energy storage","battery energy storage system","Demand flexibility","coal-fired power station","hydroelectricity","decarbonization","electric vehicle","electric power transmission","carbon dioxide emissions"],"geography_discussed":["India"],"frame_perspective":[],"analysis_type":["case study","power system modelling","policy analysis"]},{"id":"clipolin-001088","url":"https://climateinsightsdirectory.org/document/clipolin-001088","title":"Electricity market reform – Tamil Nadu case study","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"case study","language":"en","date_published":"2020-06","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/12/Electricity-market-reform-Tamil-Nadu-case-study-December-2020.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that implementing a portfolio of flexibility resources and market reforms could reduce electricity costs by up to 13% and carbon emissions by up to 17% in Tamil Nadu. Key opportunities include leveraging electric vehicle charging, agricultural pumping, and retrofitting coal plants to operate at lower technical minimums. The study emphasizes that while demand flexibility is often the lowest cost, a combined approach with storage and powerplant flexibility provides the highest system reliability and carbon benefits. Integration into a wider India-wide market could further reduce system costs by an additional 6%.","ai_generated":true,"unit":"clipolin-001088#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Developing flexible energy markets and resources within Tamil Nadu could reduce average electricity costs by up to 13% and carbon emissions by up to 17% by 2030, even if the state remains isolated from interstate power markets.","ai_generated":true,"unit":"clipolin-001088#insight-1","date_modified":"2026-10-23"},{"text":"A diversified portfolio of flexibility options—combining demand flexibility, energy storage, and powerplant flexibility—is more effective than relying on a single resource, offering the highest reductions in excess energy and carbon emissions while ensuring system security.","ai_generated":true,"unit":"clipolin-001088#insight-2","date_modified":"2026-10-23"},{"text":"Full integration into an India-wide electricity market, characterized by strong transmission links and the absence of constraints, could lower system costs for Tamil Nadu by an additional 6%.","ai_generated":true,"unit":"clipolin-001088#insight-3","date_modified":"2026-10-23"},{"text":"Demand flexibility is generally the most cost-effective new resource. Specifically, electric vehicle (EV) charging, particularly through a battery-swapping model, is identified as one of the cheapest forms of flexibility, potentially accessing 80-100% of EV flexibility potential.","ai_generated":true,"unit":"clipolin-001088#insight-4","date_modified":"2026-10-23"},{"text":"Agricultural pumping, which represents 15% of Tamil Nadu's demand, offers significant low-cost potential for daily balancing and ramping, provided that feeder separation is implemented to isolate pumping from domestic supply.","ai_generated":true,"unit":"clipolin-001088#insight-5","date_modified":"2026-10-23"},{"text":"Coal-fired powerplants can provide up to 7GW of flexibility capacity by 2030. This includes reducing mandated technical minimums from 70% to 55% for some plants and retrofitting 1.98GW of capacity to run as low as 40%.","ai_generated":true,"unit":"clipolin-001088#insight-6","date_modified":"2026-10-23"},{"text":"Battery energy storage remains a high-capital-cost option and is less competitive than demand response or powerplants for single-use flexibility. However, its economic viability improves through 'stacking' multiple services, such as combining energy shifting with voltage support or T&D deferral.","ai_generated":true,"unit":"clipolin-001088#insight-7","date_modified":"2026-10-23"},{"text":"Industrial demand, which accounts for 30-45% of the state's electricity supply, provides a particularly attractive opportunity for seasonal load shifting, especially through the management of maintenance periods and captive generation.","ai_generated":true,"unit":"clipolin-001088#insight-8","date_modified":"2026-10-23"},{"text":"Without flexibility planning and market reforms, renewable energy generators in Tamil Nadu could face curtailment of 15-20% by 2030, which is more than double the Indian average.","ai_generated":true,"unit":"clipolin-001088#insight-9","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","decarbonization","energy storage","battery energy storage system","Demand flexibility","coal-fired power station","gas-fired power station","hydroelectricity","electric vehicle","solar energy","wind power","Grid balancing"],"geography_discussed":["India","California","Massachusetts","Hawaii","United States"],"frame_perspective":[],"analysis_type":["case study","power system modelling","policy assessment"]}]}